2018 Hurricane Season Forecast Briefing
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SUPPORTING RESILIENT RECONSTRUCTION in DOMINICA Building Back Better for a Resilient Future
SUPPORTING RESILIENT RECONSTRUCTION IN DOMINICA Building back better for a resilient future AT A GLANCE Country Dominica Damage to housing across all parishes following Hurricane Maria Risks Hurricanes; Floods; Landslides; Earthquakes Area of Engagement Enabling resilient recovery By improving the uptake of resilient building practices, Dominica can limit the damage from natural hazards. Data source: Hurricane Maria Post-Disaster Needs Assessment DOMINICA’S VULNERABILITY TO NATURAL HAZARDS Dominica is located within the Atlantic hurricane belt and SHARING RESULTS, LEVERAGING is extremely vulnerable to high-intensity weather events FINANCING AND STARTING TO such as high winds, excess rainfall and hurricanes. Physical REBUILD development in Dominica is concentrated along narrow coastal areas, particularly in the south and west. Housing is Following both Hurricane Maria and Tropical Storm Erika, not built to withstand extreme natural hazards, with wood and Dominica conducted Post-Disaster Needs Assessments (PDNAs), galvanized sheeting being most common for roofing and with with support from the ACP-EU NDRR Program*, which is few confined masonry buildings. managed by the Global Facility for Disaster Reduction and Recovery (GFDRR) and the World Bank. On September 18, 2017, Hurricane Maria hit Dominica with catastrophic effects. Hurricane Maria was one of the most The Hurricane Maria PDNA identified housing as the most rapidly intensifying storms in recent history, leaving Dominica affected sector and one of the most important and challenging exposed to winds, flash floods and landslides. The impacts of areas for recovery. Building on the recommendations of the Hurricane Maria were severe both for the country’s economy Hurricane Maria PDNA, the ACP-EU NDRR Program launched as well as the human development of its citizens, and affected the “Enhancing Resilient Reconstruction in Dominica” project. -
HURRICANE KENNETH (EP132017) 18–23 August 2017
NATIONAL HURRICANE CENTER TROPICAL CYCLONE REPORT HURRICANE KENNETH (EP132017) 18–23 August 2017 Robbie Berg National Hurricane Center 26 January 2018 NASA-NOAA SUOMI NPP ENHANCED INFRARED SATELLITE IMAGE OF HURRICANE KENNETH AT 1034 UTC 21 AUGUST 2017 WHILE AT PEAK INTENSITY Kenneth was a category 4 hurricane (on the Saffir-Simpson Hurricane Wind Scale) over the eastern North Pacific Ocean that did not affect land. Hurricane Kenneth 2 Hurricane Kenneth 18–23 AUGUST 2017 SYNOPTIC HISTORY Kenneth formed from the interaction of two tropical waves which moved off the west coast of Africa on 29 July and 2 August. The first wave moved across the Atlantic Ocean and northern South America at low latitudes and reached the eastern North Pacific Ocean on 8 August. At that point, the wave became more convectively active, but it moved only slowly westward for the next week due to its position south of Hurricane Franklin over the Bay of Campeche. In the meantime, the second tropical wave spawned Hurricane Gert over the western Atlantic, with the southern portion of the wave reaching the eastern North Pacific waters on 12 August. With the subtropical ridge rebuilding over the Gulf of Mexico, the second wave moved at a faster speed toward the west and reached the first tropical wave on 16 August (Fig. 1). The interaction of the two waves caused the development of a low by 1200 UTC 17 August about 530 n mi southwest of Manzanillo, Mexico. Convective banding became more organized and persistent through the day, and the low was designated as a tropical depression by 0600 UTC 18 August about 585 n mi south- southwest of the southern tip of the Baja California peninsula. -
4. the TROPICS—HJ Diamond and CJ Schreck, Eds
4. THE TROPICS—H. J. Diamond and C. J. Schreck, Eds. Pacific, South Indian, and Australian basins were a. Overview—H. J. Diamond and C. J. Schreck all particularly quiet, each having about half their The Tropics in 2017 were dominated by neutral median ACE. El Niño–Southern Oscillation (ENSO) condi- Three tropical cyclones (TCs) reached the Saffir– tions during most of the year, with the onset of Simpson scale category 5 intensity level—two in the La Niña conditions occurring during boreal autumn. North Atlantic and one in the western North Pacific Although the year began ENSO-neutral, it initially basins. This number was less than half of the eight featured cooler-than-average sea surface tempera- category 5 storms recorded in 2015 (Diamond and tures (SSTs) in the central and east-central equatorial Schreck 2016), and was one fewer than the four re- Pacific, along with lingering La Niña impacts in the corded in 2016 (Diamond and Schreck 2017). atmospheric circulation. These conditions followed The editors of this chapter would like to insert two the abrupt end of a weak and short-lived La Niña personal notes recognizing the passing of two giants during 2016, which lasted from the July–September in the field of tropical meteorology. season until late December. Charles J. Neumann passed away on 14 November Equatorial Pacific SST anomalies warmed con- 2017, at the age of 92. Upon graduation from MIT siderably during the first several months of 2017 in 1946, Charlie volunteered as a weather officer in and by late boreal spring and early summer, the the Navy’s first airborne typhoon reconnaissance anomalies were just shy of reaching El Niño thresh- unit in the Pacific. -
Baseline Assessment Study on Wastewater Management Belize
Caribbean Regional Fund for Wastewater Management Baseline Assessment Study on Wastewater Management Belize December 2013 Revised January 2015 Baseline Assessment Study for the GEF CReW Project: Belize December 2013 Prepared by Dr. Homero Silva Revised January 2015 CONTENTS List of Acronyms....................................................................................................................................................iii 1. Introduction ........................................................................................................................................................ 1 2. The National Context ....................................................................................................................................... 3 Description of the Country .................................................................................................................. 4 Geographic Characteristics ................................................................................................................. 6 Economy by Sectors ............................................................................................................................ 9 The Environment .............................................................................................................................. 13 Land Use, Land Use Changes and Forestry (LULUCF) ....................................................................... 20 Disasters .......................................................................................................................................... -
UB Powerpoint Template
converge.colorado.edu CONVERGE ethical, coordinated, and scientifically rigorous social science, engineering, and interdisciplinary extreme events research Lori Peek Principal Investigator, CONVERGE, SSEER, and ISEEER Director, Natural Hazards Center Professor, Department of Sociology University of Colorado Boulder Session 2: Collecting, Managing, and Archiving Social and Behavioral Science Data Describe opportunities for identifying and coordinating social science researchers so that we can best share information and publish our data as well as data collection protocols using DOIs, repositories, etc. Discuss some of the overarching challenges and concerns with sharing social science data, such as privacy, data management plans and related IRB policies, duplication vs. replication, etc. converge.colorado.edu 4 Things converge.colorado.edu 1. NSF has funded the CONVERGE initiative converge.colorado.edu Why CONVERGE? Why CONVERGE? • identify and coordinate researchers and research teams; • advance hazards and disaster research; • encourage the publication of data and data collection instruments and protocols (DesignSafe Cyberinfrastructure + CONVERGE). • support and accelerate training and mentoring; • fund virtual reconnaissance, field research, and the development of novel research instruments and data collection protocols; • accelerate the development of mobile applications for social science data collection (NHERI RAPID); Why CONVERGE? 2. NSF Supports Extreme Events Research (EER) Networks converge.colorado.edu Why the EER’s? Disciplinary -
Mobile Weather & Marine Almanac 2018
2018 Mobile Weather and Marine Almanac 2017: A Year of Devastating Hurricanes Prepared by Assisted by Dr. Bill Williams Pete McCarty Coastal Weather Coastal Weather Research Center Research Center www.mobileweatheralmanac.com Christmas Town & Village Collectibles RobertMooreChristmasTown.com • 251-661-3608 4213 Halls Mill Road Mobile, Alabama Mon.-Sat. 10-5 Closed Sunday 2018 Mobile Weather and Marine Almanac© 28th Edition Dr. Bill Williams Pete McCarty TABLE OF CONTENTS Astronomical Events for 2018 ....................................................................... 2 Astronomical and Meteorological Calendar for 2018 .................................. 3 2017 Mobile Area Weather Highlights ........................................................ 15 2017 National Weather Highlights .............................................................. 16 2017 Hurricane Season ............................................................................... 17 2018 Hurricane Tracking Chart ................................................................... 18 2017 Hurricane Season in Review .............................................................. 20 Harvey and Irma - Structurally Different, but Major Impacts .................... 22 Tropical Storms and Hurricanes 1990-2017 .............................................. 24 World Weather Extremes ............................................................................ 26 Mobile Weather Extremes ........................................................................... 28 Alabama Deep Sea -
Persistent Hydrological Consequences of Hurricane Maria in Puerto Rico
RESEARCH LETTER Persistent Hydrological Consequences of Hurricane 10.1029/2018GL081591 Maria in Puerto Rico Special Section: P. W. Miller1,2 , A. Kumar1, T. L. Mote1 , F. D. S. Moraes1 , and D. R. Mishra1 The Three Major Hurricanes of 2017: Harvey, Irma and Maria 1Department of Geography, University of Georgia, Athens, GA, USA, 2Now at Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA, USA Key Points: • Landscape vegetation metrics for Puerto Rico remained depressed Abstract In September 2017, Hurricane Maria severely defoliated Puerto Rico's landscape, coinciding below pre‐Maria values for with a series of persistent hydrological consequences involving the atmospheric, terrestrial, and marine approximately two months after components of the water cycle. During the defoliated period, the atmosphere's thermodynamic structure landfall 2 2 2 • Cloud and precipitation activity more strongly explained daily cloud activity (R PRE = 0.02; R POST = 0.40) and precipitation (R PRE = 0.19; demonstrated a stronger 2 R POST = 0.33) than before landfall, indicating that post‐Maria land‐atmosphere interactions were relationship to the atmospheric comparatively muted, with similar precipitation patterns also found following Hurricanes Hugo (1989) and thermodynamic profile during the defoliated period Georges (1998). Meanwhile, modeled post‐Maria runoff exceeded statistical expectations given the magnitude • Subsurface runoff responses to of contemporaneous precipitation. Enhanced runoff also coincided with greater sediment loads in nearshore rainfall and coastal suspended waters, increasing sediment content greater than twofold. This study offers a holistic narrative of sediment values remained elevated for two and four months, hydrospheric disturbance and recovery, whereby the instantaneous, large‐scale removal of vegetation is respectively accompanied by hydrologic changes “upstream” in the atmosphere and “downstream” in rivers and estuaries. -
Hurricane Damage Detection on Four Major Caribbean Islands T ⁎ Kirsten M
Remote Sensing of Environment 229 (2019) 1–13 Contents lists available at ScienceDirect Remote Sensing of Environment journal homepage: www.elsevier.com/locate/rse Hurricane damage detection on four major Caribbean islands T ⁎ Kirsten M. de Beursa, , Noel S. McThompsona, Braden C. Owsleya, Geoffrey M. Henebryb,c a Department of Geography and Environmental Sustainability, University of Oklahoma, United States of America b Department of Geography, Environment, and Spatial Sciences, Michigan State University, United States of America c Center for Global Change and Earth Observations, Michigan State University, United States of America ARTICLE INFO ABSTRACT Keywords: Tropical cyclones are natural events that transform into natural disasters as they approach and reach land. In Hurricanes 2017 alone, tropical cyclones caused an estimated $215 billion in damage. While MODIS data are regularly used Droughts in the analysis of hurricanes and typhoons, damage studies typically focus on just a few events without providing MODIS a comprehensive overview and comparison across events. The MODIS record is now sufficiently long to enable Disturbance standardization in time, allowing us to extend previously developed disturbance methodology and to remove Tasseled Cap dependency on land cover datasets. We apply this new approach to detect the impact of both droughts and hurricanes on the four largest Caribbean islands since 2001. We find that the percentage of disturbed land on the four islands varies from approximately 0–50% between 2001 and 2017, with the highest percentages coinciding with major droughts in Cuba, and Hurricane Maria in Puerto Rico. We demonstrate that (1) Hurricane Maria resulted in significant disturbance across 50% of Puerto Rico (4549 km2), and (2) gradual recovery started about 2.5 months after the hurricane hit. -
Hurricane & Tropical Storm
5.8 HURRICANE & TROPICAL STORM SECTION 5.8 HURRICANE AND TROPICAL STORM 5.8.1 HAZARD DESCRIPTION A tropical cyclone is a rotating, organized system of clouds and thunderstorms that originates over tropical or sub-tropical waters and has a closed low-level circulation. Tropical depressions, tropical storms, and hurricanes are all considered tropical cyclones. These storms rotate counterclockwise in the northern hemisphere around the center and are accompanied by heavy rain and strong winds (NOAA, 2013). Almost all tropical storms and hurricanes in the Atlantic basin (which includes the Gulf of Mexico and Caribbean Sea) form between June 1 and November 30 (hurricane season). August and September are peak months for hurricane development. The average wind speeds for tropical storms and hurricanes are listed below: . A tropical depression has a maximum sustained wind speeds of 38 miles per hour (mph) or less . A tropical storm has maximum sustained wind speeds of 39 to 73 mph . A hurricane has maximum sustained wind speeds of 74 mph or higher. In the western North Pacific, hurricanes are called typhoons; similar storms in the Indian Ocean and South Pacific Ocean are called cyclones. A major hurricane has maximum sustained wind speeds of 111 mph or higher (NOAA, 2013). Over a two-year period, the United States coastline is struck by an average of three hurricanes, one of which is classified as a major hurricane. Hurricanes, tropical storms, and tropical depressions may pose a threat to life and property. These storms bring heavy rain, storm surge and flooding (NOAA, 2013). The cooler waters off the coast of New Jersey can serve to diminish the energy of storms that have traveled up the eastern seaboard. -
ANNUAL SUMMARY Atlantic Hurricane Season of 2005
MARCH 2008 ANNUAL SUMMARY 1109 ANNUAL SUMMARY Atlantic Hurricane Season of 2005 JOHN L. BEVEN II, LIXION A. AVILA,ERIC S. BLAKE,DANIEL P. BROWN,JAMES L. FRANKLIN, RICHARD D. KNABB,RICHARD J. PASCH,JAMIE R. RHOME, AND STACY R. STEWART Tropical Prediction Center, NOAA/NWS/National Hurricane Center, Miami, Florida (Manuscript received 2 November 2006, in final form 30 April 2007) ABSTRACT The 2005 Atlantic hurricane season was the most active of record. Twenty-eight storms occurred, includ- ing 27 tropical storms and one subtropical storm. Fifteen of the storms became hurricanes, and seven of these became major hurricanes. Additionally, there were two tropical depressions and one subtropical depression. Numerous records for single-season activity were set, including most storms, most hurricanes, and highest accumulated cyclone energy index. Five hurricanes and two tropical storms made landfall in the United States, including four major hurricanes. Eight other cyclones made landfall elsewhere in the basin, and five systems that did not make landfall nonetheless impacted land areas. The 2005 storms directly caused nearly 1700 deaths. This includes approximately 1500 in the United States from Hurricane Katrina— the deadliest U.S. hurricane since 1928. The storms also caused well over $100 billion in damages in the United States alone, making 2005 the costliest hurricane season of record. 1. Introduction intervals for all tropical and subtropical cyclones with intensities of 34 kt or greater; Bell et al. 2000), the 2005 By almost all standards of measure, the 2005 Atlantic season had a record value of about 256% of the long- hurricane season was the most active of record. -
The Crisis Informatics of Online Hurricane Risk Communication
The Crisis Informatics of Online Hurricane Risk Communication by Melissa J. Bica B.S., Santa Clara University, 2014 M.S., University of Colorado Boulder, 2017 A thesis submitted to the Faculty of the Graduate School of the University of Colorado in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Computer Science 2019 This thesis entitled: The Crisis Informatics of Online Hurricane Risk Communication written by Melissa J. Bica has been approved for the Department of Computer Science Prof. Leysia Palen (chair) Prof. Kenneth M. Anderson Dr. Julie L. Demuth Prof. Brian C. Keegan Prof. Clayton Lewis Date The final copy of this thesis has been examined by the signatories, and we find that both the content and the form meet acceptable presentation standards of scholarly work in the above mentioned discipline. IRB protocol #19-0077, 19-0109 iii Bica, Melissa J. (Ph.D., Computer Science) The Crisis Informatics of Online Hurricane Risk Communication Thesis directed by Prof. Leysia Palen Social media are increasingly used by both the public and emergency management in disasters. In disasters arising from weather-related hazards such as hurricanes, social media are especially used for communicating about risk in the pre-disaster period when the nature of the hazard is uncertain. This dissertation explores the sociotechnical aspects of hurricane risk communication, especially information diffusion, interpretation, and reaction, as it occurs on social media between members of the public and authoritative weather experts. I first investigate the kinds of hurricane risk information that were shared by authoritative sources on social media during the 2017 Atlantic hurricane season and how different kinds of infor- mation diffuse temporally. -
Regional Overview: Impact of Hurricanes Irma and Maria
REGIONAL OVERVIEW: IMPACT OF MISSION TO HURRICANES IRMA AND MARIA CONFERENCE SUPPORTING DOCUMENT 1 The report was prepared with support of ACAPS, OCHA and UNDP 2 CONTENTS SITUATION OVERVIEW ......................................................................................................................... 4 KEY FINDINGS ............................................................................................................................................ 5 Overall scope and scale of the impact ....................................................................................... 5 Worst affected sectors ...................................................................................................................... 5 Worst affected islands ....................................................................................................................... 6 Key priorities ......................................................................................................................................... 6 Challenges for Recovery ................................................................................................................. 7 Information Gaps ................................................................................................................................. 7 RECOMMENDATIONS FOR RECOVERY ................................................................................ 10 Infrastructure ......................................................................................................................................